Self-Distillation, briefly

Post-Training, KL-Divergence, Self-Distillation, Credit Assignment.

Understanding Linear Regression from a Mathematics perspective

Machine Learning, Mean Squared Error Minimization, Gradient, Linear Regression.

Solving the Linear Least Squares problem with the Gradient

Optimization, Gradient Descent, Linear Algebra.

Eigenfaces: Principal Component Analysis (PCA) on faces

Statistics, Linear Algebra, Eigenvectors, Dimensionality.